Triple
T29977480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Perkins |
E761489
|
entity |
| Predicate | hasContemporaryStatus |
P56776
|
FINISHED |
| Object | living artist |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: living artist | Statement: [Jane Perkins, hasContemporaryStatus, living artist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasContemporaryStatus Context triple: [Jane Perkins, hasContemporaryStatus, living artist]
-
A.
contemporaryState
Indicates that two entities exist or occur during the same time period or historical era.
-
B.
hasContemporaryActivity
Indicates that two activities occur during the same time period or overlap in time.
-
C.
hasContemporaryRecognition
chosen
Indicates that an entity is currently acknowledged, honored, or widely recognized in the present time or modern era.
-
D.
hasPrimaryContemporaryRecords
Indicates that there exist original or firsthand records from the same time period as the subject that document or attest to it.
-
E.
contemporaryWith
Indicates that two entities existed, occurred, or were active during the same time period.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f22467626081908d5afea489590e96 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a00c07b302081908bf9755f8fdbc36e |
completed | May 10, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_6a00bfffb168819084b65804d601896d |
completed | May 10, 2026, 5:27 p.m. |
Created at: April 29, 2026, 6:34 p.m.